A novel semiblind signal extraction approach for the removal of eye-blink artifact from EEGs

Nazarpour, K, Mohseni, HR, Hesse, CW, Chambers, JA and Sanei, S (2008) A novel semiblind signal extraction approach for the removal of eye-blink artifact from EEGs EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, ARTN 8.

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Abstract

A novel blind signal extraction (BSE) scheme for the removal of eye-blink artifact from electroencephalogram (EEG) signals is proposed. In this method, in order to remove the artifact, the source extraction algorithm is provided with an estimation of the column of the mixing matrix corresponding to the point source eye-blink artifact. The eye-blink source is first extracted and then cleaned, artifact-removed EEGs are subsequently reconstructed by a deflation method. The a priori knowledge, namely, the vector, corresponding to the spatial distribution of the eye-blink factor, is identified by fitting a space-time-frequency (STF) model to the EEG measurements using the parallel factor (PARAFAC) analysis method. Hence, we call the BSE approach semiblind signal extraction (SBSE). This approach introduces the possibility of incorporating PARAFAC within the blind source extraction framework for single trial EEG processing applications and the respected formulations. Moreover, aiming at extracting the eyeblink artifact, it exploits the spatial as well as temporal prior information during the extraction procedure. Experiments on synthetic data and real EEG measurements confirm that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEG measurements.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Computing Science
Authors :	Name Email ORCID Nazarpour, K Mohseni, HR Hesse, CW Chambers, JA Sanei, S
Date :	1 January 2008
DOI :	10.1155/2008/857459
Uncontrolled Keywords :	Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, PARALLEL FACTOR-ANALYSIS, SPATIAL CONSTRAINTS, PARAFAC, DECOMPOSITION, ALGORITHM, ELECTROENCEPHALOGRAM, LOCALIZATION, COMPONENTS, SYSTEMS, MODELS
Related URLs :	Author
Additional Information :	Copyright © 2008 Kianoush Nazarpour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Depositing User :	Symplectic Elements
Date Deposited :	14 Dec 2012 11:17
Last Modified :	31 Oct 2017 14:55
URI:	http://epubs.surrey.ac.uk/id/eprint/742976

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